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- Tasks: Lead the design and implementation of scalable data architecture solutions on Azure.
- Company: Join Morgan Philips Group, a global talent solutions business revolutionising recruitment.
- Benefits: Enjoy remote work flexibility, 30 days holiday, private healthcare, and a 9% pension.
- Why this job: Make a real impact in a forward-thinking company while working with cutting-edge data technologies.
- Qualifications: Strong experience in Data Warehousing, Azure tools, and data modelling required.
- Other info: This is a permanent role with a competitive salary between £65,000 - £75,000.
The predicted salary is between 65000 - 75000 £ per year.
I am recruiting for a Senior Data Engineer (Azure) to work for a client who is driven by SaaS products and solutions. This is a crucial hands-on data engineer role and for someone to come into the business and make an impact.
Experience
- Lead the design and implementation of robust and scalable data architecture solutions on the Azure platform.
- Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology.
- Hands-on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps.
- Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times and improving efficiency.
- Data Modelling skills such as proven ability to design efficient and scalable DW architectures, creation of robust staging and production layers.
- Experience with REST APIs.
- Forward-Thinking Vision with a solid understanding of advanced data technologies and practices.
- Hands-on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process.
- The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives.
- Familiarity with CI/CD pipelines and agile workflows.
- Nice to have experience with SSIS, PowerShell scripting, Alteryx analytics platform, Microsoft Power BI to support data visualization.
This is a permanent role and can be based remotely anywhere in the UK, office is located in London. The role offers a salary between £65,000 - £75,000, holidays include 30 days plus bank holidays, private healthcare, 9% non-contributory pension.
Senior Data Engineer employer: Morgan Philips Group SA
Contact Detail:
Morgan Philips Group SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Azure's data tools, especially Azure Data Factory and Azure SQL Server. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your capability and readiness for the role.
✨Tip Number 2
Brush up on your knowledge of data warehousing methodologies, particularly the Kimball approach. Be prepared to share examples of how you've applied these principles in past projects to showcase your expertise.
✨Tip Number 3
Highlight your experience with CI/CD pipelines and agile workflows. Discussing how you've implemented these practices in previous roles can set you apart as a candidate who understands modern development processes.
✨Tip Number 4
Prepare to talk about your collaboration skills. Since this role requires working closely with stakeholders, think of specific instances where you've successfully aligned data solutions with business objectives to illustrate your teamwork abilities.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure tools like Data Factory and SQL Server. Use specific examples of projects where you've designed and implemented data architecture solutions.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on experience with data warehousing and any familiarity with methodologies like Kimball. Show how your skills align with their needs.
Highlight Key Skills: Clearly list your technical skills related to the job description, such as ETL processes, data modelling, and integration experience. Don't forget to mention any experience with CI/CD pipelines and agile workflows.
Showcase Soft Skills: Since the role involves working closely with stakeholders, emphasise your communication and collaboration skills. Provide examples of how you've successfully aligned data solutions with business objectives in previous roles.
How to prepare for a job interview at Morgan Philips Group SA
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Azure tools like Data Factory, SQL Server, and DevOps. Be prepared to discuss specific projects where you implemented these technologies and the impact they had on data architecture.
✨Demonstrate Data Warehouse Knowledge
Since strong Data Warehouse experience is crucial, be ready to explain your familiarity with Kimball methodology. Discuss how you've designed and managed data warehouses in the past, focusing on scalability and efficiency.
✨Emphasise Integration Skills
Talk about your experience with integrating data from various sources. Provide examples of how you've ensured data accuracy and consistency throughout the ETL process, as this is key for the role.
✨Align with Business Objectives
Prepare to discuss how you've collaborated with stakeholders and other teams to align data solutions with business goals. This shows that you understand the bigger picture and can contribute to the company's success.
